Tag: Convolutional neural network

Evaluation of multi-classification method of color fundus photograph quality based on ResNet50-OC

Authors: Wan Cheng,  Zhou Xueting,  You Qijing,  Shen Jianxin,  Yu Qiuli DOI: 10.3760/cma.j.cn115989-20200107-00011 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 785-790. Abstract                              [View PDF] [Read Full Text] Objective To evaluate the efficiency of ResNet50-OC model based on deep learning for multiple classification of […]

Diabetic retinopathy fundus image generation based on generative adversarial networks

Authors:Wan Cheng,  Zhou Peng,  Wu Luhui,  Wu Yiquan,  Shen Jianxin,  Ye Hui DOI: 10.3760/cma.j.issn.2095-0160.2019.08.005 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 613-618. DOI: 10.3760/cma.j.issn.2095-0160.2019.08.005 Abstract                               [View PDF] [Read Full Text] Objective To generate various types of diabetic retinopathy (DR) fundus images automatically by computer vision […]

Screening and grading of fundus images of diabetic retinopathy based on visual attention

Authors:Wan Jialong,  Hu Jianbin,  Jin Weidong,  Tang Peng DOI: 10.3760/cma.j.issn.2095-0160.2019.08.008 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 630-637. Abstract                               [View PDF] [Read Full Text] Objective To construct an intelligent analysis system based on visual attention for diabetic retinopathy (DR) assistant diagnosis and to realize […]